886 search results - page 40 / 178 » Distributed linear discriminant analysis |
121
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ACII
2005
Springer
15 years 2 months ago
2005
Springer
The null space N(St) of total scatter matrix St contains no useful information for pattern classification. So, discarding the null space N(St) results in dimensionality reduction ...
NIPS
2007
15 years 2 months ago
2007
We present a theoretical study on the discriminative clustering framework, recently proposed for simultaneous subspace selection via linear discriminant analysis (LDA) and cluster...
98
Voted
ISCAS
2006
IEEE
15 years 6 months ago
2006
IEEE
— this paper presents a novel image feature extraction and recognition method two dimensional linear discriminant analysis (2DLDA) in a much smaller subspace. Image representatio...
110
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ICIP
2007
IEEE
15 years 4 months ago
2007
IEEE
The major problem in building a good lipreading system is to extract effective visual features from enormous quantity of video sequences data. For appearance-based feature analysi...
118
Voted
ICIP
2005
IEEE
16 years 2 months ago
2005
IEEE
We study the use of kernel subspace methods that learn low-dimensional subspace representations for classification tasks. In particular, we propose a new method called kernel weigh...